Instructions to use mosaicml/mosaic-bert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mosaicml/mosaic-bert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mosaicml/mosaic-bert-base", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mosaicml/mosaic-bert-base", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("mosaicml/mosaic-bert-base", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
Create LICENSE
#9
by kobindra - opened
Adding LICENSE file to improve automated detection of model licensing.
The new file does not change the licensing of the model; we are just adding the information in a new place.
daking changed pull request status to merged